Summary
Mateo Castro is a PhD student in Machine Learning and Robotics at the University of Washington with eight years of hands-on research and engineering experience spanning robotics, reinforcement learning, and embedded electrical systems. He holds an MS in Robotics from Carnegie Mellon and a BS in Electrical Engineering from Tufts, and has contributed to robotics labs and internships at CMU, NUS, and industry partners, bridging algorithmic research with real-world robot hardware. His work centers on robot learning and reinforcement learning, combining principled ML methods with practical systems integration. Based in Seattle, he maintains a public portfolio at www.mateoguaman.com that highlights both research projects and code, reflecting a habit of shipping reproducible experiments beyond academia.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Washington
Bachelor of Science - BS, Electrical and Electronics Engineering, Bachelor of Science - BS, Electrical and Electronics Engineering at Tufts University
Master of Science - MS, Robotics, Master of Science - MS, Robotics at Carnegie Mellon University